A brief Analysis of the connotation and relationship of Enterprise Informatization, Digitalization and intellectualization 02/02 Update SLTechnology News&Howtos

A brief Analysis of the connotation and relationship of Enterprise Informatization, Digitalization and intellectualization

2025-02-02 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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Recently, digitization and digital transformation have become popular words, and digital transformation has also become the standard for the transformation and development of enterprises. Enterprises seem to be studying or carrying out digital transformation. All kinds of digital transformation methodologies and white papers have also emerged in large numbers. For example, Aliyun Research Center released "New Generation Digital Transformation", Huawei launched "Industry Digital Transformation Methodology White Paper (2019)", Deloitte and fourth Paradigm released "A New Chapter of Digital Transformation -" Tao Magic "leading to Intelligence", etc., traditional domestic ERP manufacturers Yuyou and Kingdee also launched digital transformation white papers or works, laying out digital transformation-related businesses one after another. The author is also engaged in the work related to digital transformation, and agrees with most of the ideas or viewpoints put forward by the above materials, and thinks that it can provide a good reference for enterprises to carry out digital transformation.

At the same time, in the communication with some colleagues and customers who are carrying out digital transformation, the author finds that the connotation and difference of informatization, digitalization and intelligence are not very clear, including some digital transformation service providers. There is no or can not well answer the fundamental question of this enterprise's digital transformation, and the industry's understanding and understanding of informatization, digitalization and intelligence are not unified. The boundary of the three is also blurred. Without a clear understanding of this problem, enterprises will not be able to understand the "what", "why" and "how to do" problems of digital transformation. For this reason, the author thinks about this problem, and based on other research and practical achievements, coupled with his own understanding and understanding, has formed the following connotation and differences of informatization, digitalization and intelligence.

Understanding of informationization, digitalization and intelligentization

(1) understanding of informationization

Informationization is based on the optimization and reconstruction of business processes. Through the effective integration of information technology and actual business, real-world business objects and business processes are reconstructed and solidified in the IT system, and business events are recorded to achieve efficient sharing of enterprise information and efficient coordination of business, forming the ability of monitoring and insight into business, so as to improve work efficiency, optimize resource allocation, and support efficient analysis and decision-making. And then the process of improving the competitiveness and economic benefits of enterprises.

Informationization does not change the logic of real business, enterprise thinking mode is still based on the real world, but the traditional business model is transferred from offline to online to be completed by IT system. Through information means, the optimized business process is solidified and automated, and business decision support is provided, such as OA system, ERP system, CRM system, auxiliary decision system and so on. The realization of informatization is the innovation of enterprise management concept and management means. In this process, business process is the core, IT system is the tool, and data is the by-product of business online collaborative processing.

Informatization supports the enterprise business by means of fragmented supply. At the beginning of the development and construction of enterprise informatization, due to the lack of overall planning of enterprise informatization and the scattered development of business system construction, it mainly meets the needs of business processing and statistical analysis in a certain business field. The phenomenon of "emphasizing function and neglecting data" is widespread. It can be said that informatization is an unbalanced support for enterprise business through fragmentation. Today, the resulting data repetitive generation, inconsistency, as well as "data isolated island", "data chimney" and other problems still perplex many enterprises.

The process of informatization is also a process of gradually increasing the degree of attention to data. With the improvement of technology and cognitive level, the depth and breadth of information supporting enterprise business is getting higher and higher, the scope of data needed by enterprises is getting larger and larger, and there are more and more demands for data fusion and sharing. the process of the development of enterprise informatization is not only the process of continuous improvement of the degree of attention to data, but also the process of continuous improvement of information system integration. However, this is still not enough to fundamentally solve the problems caused by the fragmentation of information supply.

(2) understanding of digitization

Drawing lessons from the definition of digital transformation given in the 2019 Huawei Industry Digital Transformation Methodology White Paper, digitalization is the use of a new generation of digital technologies, such as cloud computing, big data, Internet of things, artificial intelligence, and so on. build a digital world with full perception, full connection, full scene and full intelligence, optimize and reengineer the business of the physical world on the basis of realizing the accurate mapping of the digital world to the physical world. Innovate and reshape the traditional management model, business model and business model to achieve business success. The digital definition is quite similar to the concept of data twinning, which is the core of the development and operation of enterprises.

The essence of digitalization is the business transformation driven by information technology, and the fundamental purpose is to enhance the competitiveness of enterprises. On the one hand, the new economic normal and the intensification of competition require enterprises to optimize or change their existing management, business or business models. On the other hand, the popularity of mobile terminals and networks enables enterprises to directly contact the final consumers, more convenient and accurate to understand the needs of consumers, coupled with the maturity and practicality of the new generation of information technology, it is possible to quickly meet the individual needs of customers at a lower cost and improve the user experience of new management, business or business model.

Digitization is not an IT function, but a business function related to the future of the enterprise. Enterprises need to realize that data in big data era is the core competitiveness of enterprises, digitalization redefines customer value and corporate strategy, and transforms data into corporate insight and competitive advantage. the key to digitalization lies in taking customers as the center, using new technologies to create new and unique customer experiences, creating new intelligent and digital products or services, and reshaping the business model or operation model of enterprises.

There are three categories of digital transformation. Ariyun Research Center divides the digital transformation into two categories: "digital growth" and "digital reconstruction" in the "new generation digital transformation". On this basis, according to the degree to which the digital transformation changes the enterprise's existing business, digitization is divided into three categories: "digital growth", "digital reconstruction" and "digital innovation", and corresponding to different business strategies and digital strategies. " "Digital growth" refers to operating optimization and technological innovation based on existing business models, using efficient data technologies and algorithms, achieving a balance between lower costs and better experiences, reducing operating costs, or providing increments for business; "digital reconstruction" refers to the reconstruction of business models based on data, such as the online and offline integration of traditional supermarkets, changing from traditional retail to new retail. "Digital innovation" is based on data to develop new services, such as traditional operators to provide location services to the outside world. In the process of digital practice, enterprises should make clear the category of transformation they are in, and select appropriate and matching strategies in terms of corporate strategy and digital technology, so as to successfully achieve the purpose of transformation and upgrading.

Digitalization requires the construction of a global optimal technical system and data system. Enterprises need to rely on the new generation of information technology and the latest data management concepts to build a global optimal open technology system and data management system, to provide global data fusion, sharing and application value-added services, to meet the global business needs, to solve the problems caused by information fragmentation supply, while supporting management, operation or business model reform.

Digitization is a long-term systematic project. According to the 2019 White Paper on Methodology of Digital Transformation in Huawei Industry, for most enterprises, the challenges facing digitization come from all aspects: from technological mastery to business innovation, from organizational change with cultural reshaping, from digital capacity building to personnel training, so the success of digitization can not be achieved overnight. Digitization is a long-term and arduous task. Only after crossing a certain critical inflection point can the benefits of digitization show exponential growth. Most enterprises need 3-5 years or more to achieve significant results.

(3) understanding of intellectualization

Dr. an Xiaopeng, deputy director of Ali Research Institute, believes that intelligence is the ability of a subject to respond to changes in the external market environment. The subject can be a robot, a controlled machine tool, a three-dimensional warehouse, a research and development team, a person, or a workshop. To judge whether a subject is intelligent or not, the most important sign is the ability of the subject to respond to changes in the external environment. Dr. an Xiaopeng believes that whether there is intelligence within an enterprise or not, we need to see if fewer and fewer people are needed in every link of data and information transmission. Drawing lessons from Academician Xu Zongben's understanding of intelligence, this paper tries to define intelligence as follows: with the support of network, big data, Internet of things and artificial intelligence, it has sensitive and accurate perception function, correct thinking and judgment function, adaptive learning function, effective executive function and so on. It can make timely response to external changes and make decisions instead of people.

The essence of intelligence is to let machines make decisions instead of people. The core problem of intelligent solution is the relationship between people and machines. In the future, business decisions will increasingly rely on machine learning and artificial intelligence. Machines will play a very important role in many business decisions. The effect it can achieve will exceed that of today's manual operation, thus reducing the difficulty of managers' decision-making and improving the efficiency and accuracy of decision-making.

The foundation of intelligence is big data, algorithm and cloud computing. Zeng Ming believes in Smart Business that cloud computing can store and calculate huge amounts of data at a lower cost, and it is precisely because of the need to deal with big data that the demand for cloud computing is getting higher and higher. both have promoted the rapid development of the entire data industry. But if you want cloud computing and big data to really create value, you still need the support of the "brain", that is, the algorithm.

Intelligence can bring multiple values to enterprises. "A new chapter of digital transformation -" Tao Magic "to intellectualization" believes that intelligence can bring multiple values to enterprises, one is more agile operation, through perception, cognition and other technologies to improve the efficiency of most conventional processes and reduce costs. At the same time, improve the user experience; second, more fully customized, allowing enterprises to provide real one-to-one interaction to fully meet the independent needs of customers and provide better services. Third, more intelligent decision-making, the use of advanced data science to improve the business performance of enterprises, the use of big data mining to achieve more valuable business insight; fourth, a new value proposition, new operation models and working methods make products / services stand out and build new products, services and business models with intelligent technology as the core.

Comparative Analysis of Informatization, Digitalization and intellectualization

Based on the comparative analysis of the connotation of informatization, digitalization and intelligence and the practice of the industry, the following views are formed:

1. The boundary between informatization, digitalization and intellectualization is not distinct, but there is a certain overlap, and with the continuous progress of technology, the innovation of management ideas and the intensification of competition, from informatization to digitalization is the inevitable requirement of the development of enterprises.

2. Informatization is the foundation of digitalization, from informatization to digitalization is a process from quantitative change to qualitative change.

3. Intelligence is not only the advanced stage of digitization, but also the natural extension of the development of digitalization to a certain stage. At the same time, intelligence is also the key means to achieve digital goals.

4. From informatization to digitalization, from digitalization to intellectualization, it is not a simple substitution relationship, but a relationship of inheritance and development. The latter stage fully inherits the achievements of the previous stage, and on this basis, introduces new technologies and ideas to solve the problems or bottlenecks of the previous stage and realize the new business value.

5. from information to digital, from digital to intelligent, from the social environment, technological progress is the core driving force; from the perspective of specific enterprises, in addition to considering technological progress, business drive and timing are also the key.

The following makes a preliminary comparative analysis of informatization, digitalization and intelligence from the aspects of core connotation, business logic, main integration scope, technical requirements and main carriers.